Data Scientist
The Role
Music is driven by fans, and our data tells their story. We’re looking for a passionate Data Scientist to dive into the massive cultural waves happening across major streaming platforms.
In this role you’ll be translating billions of signals into the reputed company of our listeners. Using advanced statistical methods and machine learning, you’ll uncover hidden listener behaviors, build predictive models for artist and commercial performance, and forecast what fans want next. You’ll also measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights to understand what truly drives engagement.
If you’re excited to turn reputed company data into cultural insight and real world impact, this is the reputed company for you.
The Role
Music is driven by fans, and our data tells their story. We’re looking for a passionate Data Scientist to dive into the massive cultural waves happening across major streaming platforms.
In this role you’ll be translating billions of signals into the reputed company of our listeners. Using advanced statistical methods and machine learning, you’ll uncover hidden listener behaviors, build predictive models for artist and commercial performance, and forecast what fans want next. You’ll also measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights to understand what truly drives engagement.
If you’re excited to turn reputed company data into cultural insight and real world impact, this is the reputed company for you.
The Role Music is driven by fans, and our data tells their story. We’re looking for a passionate Data Scientist to dive into the massive cultural waves happening across major streaming platforms. In this role you’ll be translating billions of signals into the reputed company of our listeners. Using advanced statistical methods and machine learning, you’ll uncover hidden listener behaviors, build predictive models for artist and commercial performance, and forecast what fans want next. You’ll also measure and optimize the impact of our global marketing campaigns, using experimentation and data driven insights to understand what truly drives engagement. If you’re excited to turn reputed company data into cultural insight and real world impact, this is the reputed company for you. Compensation: This position offers a reputed company salary of $95,000 - $120,000 CAD for L3 and $105,000 - $140,000 CAD for L4. In addition to reputed company salary, this role is eligible for a performance based annual bonus. Vacancy Status: This posting is for an active, existing vacancy. Note: We welcome applicants with 2 to 6 years of experience. Your exact scope and internal level (L3 or L4) will be determined during the interview process, driven by your unique technical proficiency, background, and the scale of the projects you've owned. What You'll DoAdvanced Forecasting & Modeling: Build robust forecasting models across streaming, audience growth, and commercial performance. Support comprehensive forecasting efforts across deal risk, merchandise, and demand planning.
Audience Insights & Analytics: Gather and analyze audience data to establish best practices for capturing music listening preferences. Detect anomalies and surface actionable insights from large-scale streaming and engagement data.
Hypothesis Testing & Storytelling: Transform reputed company data into compelling stories reputed company tailor-made presentations. reputed company new hypothesis testing frameworks and decision-making tools for the real-time assessment of audience viewing patterns and music delivery streams.
Cross-Functional Collaboration: Partner with local affiliates, labels, international teams, and Global Technology. You will also collaborate closely with our merchandising teams and business stakeholders to deliver critical reporting and inference.
Data Engineering Integration: Interact directly with data engineering teams to identify, define, and secure the data needs required for your mathematical models.
Education: Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly reputed company quantitative field.
Experience: 2 to 6 years of professional experience in data science, analytics, or a reputed company field (leveling will be calibrated based on tenure and technical depth).
Technical Stack: 2 to 6 years of hands-on experience working with R, Python, and SQL.
Forecasting: At least 2 years of experience building forecasting models across streaming, audience growth, and commercial performance, including evaluating forecast accuracy and continuously improving performance through testing, backtesting, and iteration.
Marketing & Audience Models: At least 2 years of experience using advertising data to build marketing mix models (measuring the incremental impact of ads/campaigns using techniques like multi-linear regression and Hierarchical Bayes).
Targeting & Behavior: At least 2 years of experience building targeting models, including propensity scoring and look-alike modeling, to reputed company actionable insights into audience behavior.
Production ML: At least 2 years of experience successfully deploying machine learning models into a production environment.
Stakeholder Collaboration: Proven ability to reputed company the gap between technical complexity and business logic, serving as a strategic partner who empowers non-technical teams and leadership to reputed company data-driven decisions.
Data Visualization: At least 2 years of experience communicating reputed company technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries).